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#' tidyquant colors and fills for ggplot2.
#'
#' The tidyquant scales add colors that work nicely with `theme_tq()`.
#'
#' @details
#' \describe{
#'
#' \item{`scale_color_tq`}{
#' For use when `color` is specified as an `aes()` in a ggplot.}
#'
#' \item{`scale_fill_tq`}{
#' For use when `fill` is specified as an `aes()` in a ggplot.}
#' }
#'
#'
#'
#' @seealso [theme_tq()]
#'
#' @param theme one of "light", "dark", or "green". This should match the `theme_tq()` that is used with it.
#' @param ... common parameters for `scale_color_manual()` or `scale_fill_manual()`: `name`, `breaks`, `labels`, `na.value`, `limits` and `guide`.
#'
#' @examples
#' # Load libraries
#' library(dplyr)
#' library(ggplot2)
#'
#' # Get stock prices
#' stocks <- c("AAPL", "META", "NFLX") %>%
#' tq_get(from = "2013-01-01",
#' to = "2017-01-01")
#'
#' # Plot for stocks
#' g <- stocks %>%
#' ggplot(aes(date, adjusted, color = symbol)) +
#' geom_line() +
#' labs(title = "Multi stock example",
#' xlab = "Date",
#' ylab = "Adjusted Close")
#'
#' # Plot with tidyquant theme and colors
#' g +
#' theme_tq() +
#' scale_color_tq()
#'
#'
#' @name scale_manual
NULL
#' @rdname scale_manual
#' @export
#'
scale_color_tq <- function(..., theme = "light") {
pal <- switch(theme,
"light" = unname(palette_light()) %>% rep(100),
"dark" = unname(palette_dark()) %>% rep(100),
"green" = unname(palette_green() %>% rep(100))
)
scale_color_manual(values = pal, ...)
}
#' @rdname scale_manual
#' @export
scale_colour_tq <- scale_color_tq
#' @rdname scale_manual
#' @export
scale_fill_tq <- function(..., theme = "light") {
pal <- switch(theme,
"light" = unname(palette_light()) %>% rep(100),
"dark" = unname(palette_dark()) %>% rep(100),
"green" = unname(palette_green()) %>% rep(100)
)
scale_fill_manual(values = pal, ...)
}
#' tidyquant palettes for use with scales
#'
#' These palettes are mainly called internally by tidyquant `scale_*_tq()` functions.
#'
#' @examples
#' library(scales)
#' scales::show_col(palette_light())
#'
#' @name palette_tq
NULL
#' @rdname palette_tq
#' @export
palette_light <- function() {
c(
blue = "#2c3e50", # blue
red = "#e31a1c", # red
green = "#18BC9C", # green
yellow = "#CCBE93", # yellow
steel_blue = "#a6cee3", # steel_blue
navy_blue = "#1f78b4", # navy_blue
light_green = "#b2df8a", # light_green
pink = "#fb9a99", # pink
light_orange = "#fdbf6f", # light_orange
orange = "#ff7f00", # orange
light_purple = "#cab2d6", # light_purple
purple = "#6a3d9a" # purple
) %>% toupper()
}
#' @rdname palette_tq
#' @export
palette_dark <- function() {
# Brighter version of palette_light
c(
blue = "#0055AA", # blue
red = "#C40003", # red
green = "#00C19B", # green
yellow = "#EAC862", # yellow
steel_blue = "#7FD2FF", # steel_blue
navy_blue = "#007ED3", # navy_blue
light_green = "#b2df8a", # light_green
pink = "#FFACAA", # pink
light_orange = "#FF9D1E", # light_orange
lime_green = "#C3EF00", # lime_green
light_purple = "#cab2d6", # light_purple
purple = "#894FC6" # purple
) %>% toupper()
}
#' @rdname palette_tq
#' @export
palette_green <- function() {
# Green compatible version of palette_light
c(
blue = "#0055AA", # blue
red = "#C40003", # red
yellow = "#EAC862", # yellow
steel_blue = "#7FD2FF", # steel_blue
navy_blue = "#007ED3", # navy_blue
creme = "#F6F4F3", # creme
pink = "#FFACAA", # pink
light_orange = "#FF9D1E", # light_orange
lime_green = "#C3EF00", # lime_green
light_purple = "#cab2d6", # light_purple
purple = "#894FC6", # purple
brown = "#592E2E" # brown
) %>% toupper()
}
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